matplotlib / matplotlib/basemap
Why is matplotlib basemap not plotting the colours of some areas in my map?
まだ誰も着手していません。
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説明
The code below is supposed to colour all the states of Vietnam:
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
fig, ax = plt.subplots(figsize=(10,20))
# create the map
map = Basemap(resolution='l', # c, l, i, h, f or None
projection='merc',
lat_0=15.95, lon_0=105.85,
llcrnrlon=102., llcrnrlat= 8.31, urcrnrlon=109.69, urcrnrlat=23.61)
# load the shapefile, use the name 'states'
map.readshapefile(r'path\to\gadm36_VNM_1', name='states', drawbounds=True)
# shapefile downloaded from http://www.gadm.org/
# collect the state names from the shapefile attributes so we can
# look up the shape obect for a state by it's name
state_names = []
for shape_dict in map.states_info:
state_names.append(shape_dict['VARNAME_1'])
ax = plt.gca() # get current axes instance
# NOR, CEN, SOU and MEK are some subdivisions I have created for the states of Vietnam
NOR = ['Lai Chau',
'Lao Cai',
'Ha Giang',
'Cao Bang',
'Dien Bien',
'Son La',
'Yen Bai',
'Tuyen Quang',
'Bac Kan',
'Lang Son',
'Thai Nguyen',
'Phu Tho',
'Vinh Phuc',
'Hoa Binh',
'Ha Noi',
'Bac Ninh',
'Hai Duong',
'Hung Yen',
'Ha Nam',
'Quang Ninh',
'Hai Phong',
'Thai Binh',
'Nam Dinh',
'Bac Giang',
'Ninh Binh']
CEN = ['Thanh Hoa',
'Nghe An',
'Ha Tinh',
'Quang Binh',
'Quang Tri',
'Thua Thien Hue',
'Da Nang']
SOU = ['Quang Nam',
'Kon Tum',
'Quang Ngai',
'Gia Lai',
'Binh Dinh',
'Dak Lak',
'Phu Yen',
'Khanh Hoa',
'Dak Nong',
'Lam Dong',
'Ninh Thuan']
MEK = ['Binh Phuoc',
'Dong Nai',
'Binh Thuan',
'Tay Ninh',
'Binh Duong',
'Dong Nai',
'Ba Ria - Vung Tau',
'Ho Chi Minh',
'Long An',
'An Giang',
'Dong Thap',
'Tien Giang',
'Kien Giang',
'Can Tho',
'Vinh Long',
'Ben Tre',
'Hau Giang',
'Tra Vinh',
'Soc Trang',
'Bac Lieu',
'Ca Mau']
# Define the colours to be used to colour the states
from matplotlib import cm
from numpy import linspace
start = 0.5
stop = 1.0
number_of_lines= 4
cm_subsection = linspace(start, stop, number_of_lines)
cm_subsection[0] = cm_subsection[0]*4
cm_subsection[1] = cm_subsection[1]*0.6
cm_subsection[2] = cm_subsection[2]*0.8
cm_subsection[3] = cm_subsection[3]*0.1
colors = [ cm.Blues(x) for x in cm_subsection ]
for state in NOR:
seg = map.states[state_names.index(state)]
poly = Polygon(seg, facecolor=colors[0], edgecolor=colors[0])
ax.add_patch(poly)
for state in CEN:
seg = map.states[state_names.index(state)]
poly = Polygon(seg, facecolor=colors[1], edgecolor=colors[1])
ax.add_patch(poly)
for state in SOU:
seg = map.states[state_names.index(state)]
poly = Polygon(seg, facecolor=colors[2], edgecolor=colors[2])
ax.add_patch(poly)
for state in MEK:
seg = map.states[state_names.index(state)]
poly = Polygon(seg, facecolor=colors[3], edgecolor=colors[3])
ax.add_patch(poly)
import matplotlib.patches as mpatches
NOR_patch = mpatches.Patch(color=colors[0], label='Rate: 34.85%')
CEN_patch = mpatches.Patch(color=colors[1], label='Rate: 25.61%')
SOU_patch = mpatches.Patch(color=colors[2], label='Rate: 32.66%')
MEK_patch = mpatches.Patch(color=colors[3], label='Rate: 20.02%')
plt.legend(handles=[NOR_patch, CEN_patch, SOU_patch, MEK_patch])
plt.show()
But this produces the map below, where some of the states are not coloured even though they are present in the state names and in the subdivisions:

In fact, if I try to colour a state whose name is not present in the lists, it throws an error:
MEK.append('ABCDE')
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-619-a89da62a0831> in <module>()
134
135 for state in MEK:
--> 136 seg = map.states[state_names.index(state)]
137 poly = Polygon(seg, facecolor=colors[3], edgecolor=colors[3])
138 ax.add_patch(poly)
ValueError: 'ABCDE' is not in list
So, clearly the states that are not colored are present in the list, as I'm not getting any error. So, what's going on?
EDIT: It just struck me that almost all the states that aren’t coloured share at least some part of their border with sea/ocean in the real world. The 6 exceptions are highlighted in red below:

Now that’s very interesting! Could it have anything to do with the issue? If yes, what? And why? And why do those 6 exceptions exist?
EDIT 2: I have also found similar results when plotting the map of Philippines:

コントリビューションガイド
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調査の方向性
map.readshapefile の呼び出しから始め、影響を受ける地域に対応する、結果として得られた map.states と map.states_info のエントリを調べます。Vietnam と Philippines の例を再現し、その後、shapefile のジオメトリと axes に追加された Polygon パッチを比較します。影響を受ける地域がなぜ目に見える形で塗りつぶされないのかを特定し、再現可能な修正または明確な upstream の説明を文書化できれば完了です。
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- python
- 領域
- data-visualization
- issue の種類
- バグ
- 難易度
- 4/5
- 見積もり時間
- 3〜5日
- 活発さ
- 停滞
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 28/100